Project abstract for group halbergf

Assessment of Physiologic Chronomes From Womb to Tomb

Weeklong records of around-the-clock blood pressure are analyzed by in-house chronobiologic software for a double purpose. First, abnormal patterns of variability in blood pressure and heart rate assess cardiovascular disease risk. Outcome studies still ongoing in several cooperating centers worldwide indicate that vascular disease risk is greatly increased when several abnormalities coexist. Abnormal patterns vary among populations, related in part to differences in diet and lifestyle. Focus is placed on primary prevention, abnormalities occurring within the physiological range, prompting the institution of prophylactic intervention. Treatment can be optimized by timing (chronotherapy). Adjusting treatment timing for each individual patient to the chronodiagnosis is a procedure that led to the concept of chronotheranostics. Chronotherapy documented for losartan/hydrochlorothiazide (Hyzaar) is being extended to other drug combinations. Second, combined with monitoring of the environment by physicists, environmental influences on human affairs can be studied. To the well-known synchronization by light and temperature of the circadian and circannual systems, our project on the BIOsphere and the COSmos (BIOCOS) adds the study of non-photic cycles in the environment, stemming from corpuscular particles from the Sun and space-terrestrial magnetism that share cycles found in biology. The systematic assessment of these “coperiodisms” is being assembled into an “atlas” of chronomes (broad time structures in us and around us), serving as a searchable repository of information from over 60 years of research at the Halberg Chronobiology Center. This group's pursuit of these two main goals is greatly facilitated by access to the supercomputers to:

  • analyze long and dense data series
  • organize data into databases
  • automatically update reference standards as added data accumulate
  • detect the earliest risk by means of chronome alterations
  • follow up at-risk individuals longitudinally by means of control charts
  • explore large parameter spaces in nonlinear analyses not requiring the specification of initial values

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